Soo‐Youn Ham

541 total citations
36 papers, 345 citations indexed

About

Soo‐Youn Ham is a scholar working on Pulmonary and Respiratory Medicine, Radiology, Nuclear Medicine and Imaging and Epidemiology. According to data from OpenAlex, Soo‐Youn Ham has authored 36 papers receiving a total of 345 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Pulmonary and Respiratory Medicine, 12 papers in Radiology, Nuclear Medicine and Imaging and 9 papers in Epidemiology. Recurrent topics in Soo‐Youn Ham's work include Chronic Obstructive Pulmonary Disease (COPD) Research (5 papers), Lung Cancer Diagnosis and Treatment (5 papers) and Radiomics and Machine Learning in Medical Imaging (5 papers). Soo‐Youn Ham is often cited by papers focused on Chronic Obstructive Pulmonary Disease (COPD) Research (5 papers), Lung Cancer Diagnosis and Treatment (5 papers) and Radiomics and Machine Learning in Medical Imaging (5 papers). Soo‐Youn Ham collaborates with scholars based in South Korea, United Kingdom and Japan. Soo‐Youn Ham's co-authors include Hwejin Jung, Jaewoo Kang, Bumsoo Kim, Junhyun Lee, Shin Ho Kook, Eun Young Kim, Chan Heun Park, Yoon Jung Choi, Inyoung Youn and Min Ja Kim and has published in prestigious journals such as PLoS ONE, Biochemical and Biophysical Research Communications and International Journal of Molecular Sciences.

In The Last Decade

Soo‐Youn Ham

31 papers receiving 334 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Soo‐Youn Ham South Korea 9 167 123 105 54 50 36 345
Bingjie Zheng China 10 128 0.8× 108 0.9× 86 0.8× 43 0.8× 45 0.9× 34 364
Patricia Raciti United States 6 157 0.9× 96 0.8× 204 1.9× 53 1.0× 26 0.5× 10 299
Zhuangsheng Liu China 10 269 1.6× 133 1.1× 71 0.7× 35 0.6× 44 0.9× 17 334
Juan Antonio Retámero Spain 8 116 0.7× 71 0.6× 176 1.7× 82 1.5× 22 0.4× 13 299
Toshiyuki Ishiba Japan 9 163 1.0× 68 0.6× 123 1.2× 68 1.3× 75 1.5× 35 331
Christina Glasner Germany 3 153 0.9× 62 0.5× 129 1.2× 93 1.7× 53 1.1× 4 279
Julia Arfi‐Rouche France 9 138 0.8× 107 0.9× 121 1.2× 104 1.9× 24 0.5× 25 315
Samantha Bove Italy 11 216 1.3× 65 0.5× 191 1.8× 71 1.3× 67 1.3× 35 343
Aurélie Fernandez Germany 5 181 1.1× 85 0.7× 151 1.4× 119 2.2× 64 1.3× 8 353
Vidya Sankar Viswanathan United States 10 179 1.1× 93 0.8× 91 0.9× 101 1.9× 32 0.6× 39 307

Countries citing papers authored by Soo‐Youn Ham

Since Specialization
Citations

This map shows the geographic impact of Soo‐Youn Ham's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Soo‐Youn Ham with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Soo‐Youn Ham more than expected).

Fields of papers citing papers by Soo‐Youn Ham

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Soo‐Youn Ham. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Soo‐Youn Ham. The network helps show where Soo‐Youn Ham may publish in the future.

Co-authorship network of co-authors of Soo‐Youn Ham

This figure shows the co-authorship network connecting the top 25 collaborators of Soo‐Youn Ham. A scholar is included among the top collaborators of Soo‐Youn Ham based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Soo‐Youn Ham. Soo‐Youn Ham is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Lee, Hyunjoo, et al.. (2025). Assessment of Lung Cancer Risks Related to Family History in Never-Smokers: A Cohort Study. Clinical Lung Cancer. 26(5). 364–369.e2.
2.
3.
Ham, Soo‐Youn, et al.. (2024). Patch-wise vector quantization for unsupervised medical anomaly detection. Pattern Recognition Letters. 184. 205–211. 1 indexed citations
4.
5.
Kwon, Mi-ri, Yoosoo Chang, Soo‐Youn Ham, et al.. (2024). Screening mammography performance according to breast density: a comparison between radiologists versus standalone intelligence detection. Breast Cancer Research. 26(1). 68–68. 7 indexed citations
6.
Lee, Jong Hoo, et al.. (2024). Increased Apolipoprotein B/Apolipoprotein A-I Ratio Is Associated With Decline in Lung Function in Healthy Individuals: The Kangbuk Samsung Health Study. Journal of Korean Medical Science. 39(6). e51–e51. 2 indexed citations
7.
Kim, Nayoung, Ji Eun Park, Hyun Jung Koo, et al.. (2024). Healthcare reform: let science, not politics, lead the way. Annals of Coloproctology. 40(Suppl 1). S48–S49.
8.
Chang, Jiwon, Yoosoo Chang, Yoosun Cho, et al.. (2023). Metabolic‐associated fatty liver disease is associated with colorectal adenomas in young and older Korean adults. Liver International. 43(11). 2548–2559. 5 indexed citations
9.
Lee, Jong Hoo, et al.. (2023). The impact of insulin resistance on the association between metabolic syndrome and lung function: the Kangbuk Samsung Health Study. Diabetology & Metabolic Syndrome. 15(1). 65–65. 3 indexed citations
10.
11.
Lee, Jong Hoo, et al.. (2020). Decreased lung function is associated with vitamin D deficiency in apparently health, middle aged Koreans: the Kangbuk Samsung Health Study. European Journal of Clinical Nutrition. 75(3). 501–512. 4 indexed citations
12.
Kim, Eung Yeop, et al.. (2020). Preoperative evaluation of mammographic microcalcifications after neoadjuvant chemotherapy for breast cancer. Clinical Radiology. 75(8). 641.e19–641.e27. 12 indexed citations
13.
Lee, Jong Hoo, Hye Kyeong Park, Min‐Jung Kwon, et al.. (2020). Decreased lung function is associated with elevated ferritin but not iron or transferrin saturation in 42,927 healthy Korean men: A cross-sectional study. PLoS ONE. 15(4). e0231057–e0231057. 8 indexed citations
14.
Kim, Tae Hyung, Soo‐Youn Ham, Soon Ho Um, et al.. (2020). Clinical implications of thoracic duct dilatation in patients with chronic liver disease. Medicine. 99(22). e19889–e19889. 3 indexed citations
15.
Kim, Myung Sub, et al.. (2020). Complications after 100 sessions of cone-beam computed tomography-guided lung radiofrequency ablation: a single-center, retrospective experience. International Journal of Hyperthermia. 37(1). 763–771. 6 indexed citations
16.
Ham, Soo‐Youn, So Yeon Jeong, Seong Hee Choi, et al.. (2019). Tristetraprolin posttranscriptionally downregulates PFKFB3 in cancer cells. Biochemical and Biophysical Research Communications. 521(2). 389–394. 8 indexed citations
17.
Jung, Hwejin, et al.. (2018). Detection of masses in mammograms using a one-stage object detector based on a deep convolutional neural network. PLoS ONE. 13(9). e0203355–e0203355. 94 indexed citations
18.
Hwang, Sung Ho, et al.. (2016). Evaluation of the left neck distal thoracic duct in cirrhosis with computed tomography. Clinical Imaging. 40(3). 465–469. 3 indexed citations
19.
Doo, Kyung Won, Eun-Young Kang, Hwan Seok Yong, et al.. (2014). Comparison of chest radiography, chest digital tomosynthesis and low dose MDCT to detect small ground-glass opacity nodules: an anthropomorphic chest phantom study. European Radiology. 24(12). 3269–3276. 18 indexed citations
20.
Choi, Eun Jung, et al.. (2008). Comparison between coronal reformatted images and direct coronal CT images of the swine lung specimen: assessment of image quality with 64-detector row CT. British Journal of Radiology. 81(966). 463–467. 5 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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